Neural ordinary differential grey model and its applications

作者：

Highlights：

• Novel grey forecasting model called the neural ordinary differential grey model (NODGM) is proposed.

• NODGM can be learned through a training procedure.

• NODGM has a wider application range and can learn the characteristics of different data samples.

• The predicting sequence is obtained by using the Runge–Kutta method to solve the model.

摘要

•Novel grey forecasting model called the neural ordinary differential grey model (NODGM) is proposed.•NODGM can be learned through a training procedure.•NODGM has a wider application range and can learn the characteristics of different data samples.•The predicting sequence is obtained by using the Runge–Kutta method to solve the model.

论文关键词：Grey system,NODGM,Neural network,Energy prediction

论文评审过程：Received 30 July 2020, Revised 5 March 2021, Accepted 17 March 2021, Available online 26 March 2021, Version of Record 16 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114923